This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
Integrate image generation capabilities into your applications using a C++ implementation of popular AI models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeThis repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
axodox-machinelearning has 633 stars on GitHub. It has been forked 42 times. axodox-machinelearning is written mainly in C++. It has been in active development since 2023. axodox-machinelearning is available under the MIT license. Its main topics are controlnet, cpp, directml, holistically-nested-edge-detection.
This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
axodox-machinelearning is an open-source project. It is released under the MIT license.
Yes. axodox-machinelearning is free and open source — you can use, modify and self-host it.
axodox-machinelearning is available under the MIT license.
axodox-machinelearning is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/axodox-axodox-machinelearning.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.